Shiro Usui

1.9k total citations
113 papers, 1.2k citations indexed

About

Shiro Usui is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Shiro Usui has authored 113 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 23 papers in Molecular Biology. Recurrent topics in Shiro Usui's work include Neural Networks and Applications (18 papers), Photoreceptor and optogenetics research (16 papers) and Neural dynamics and brain function (16 papers). Shiro Usui is often cited by papers focused on Neural Networks and Applications (18 papers), Photoreceptor and optogenetics research (16 papers) and Neural dynamics and brain function (16 papers). Shiro Usui collaborates with scholars based in Japan, United States and Germany. Shiro Usui's co-authors include Jacek M. Żurada, A. Malinowski, Shigeki Nakauchi, Yutaka Hirata, Lawrence Stark, Naohiro Toda, Peter Géczy, Takeshi Yoshitomi, Hiroshi Ishikane and Masaharu Noda and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Shiro Usui

103 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shiro Usui Japan	17	351	279	254	197	135	113	1.2k
Soumya Chatterjee India	18	542 1.5×	163 0.6×	148 0.6×	72 0.4×	123 0.9×	117	1.4k
Isao T. Tokuda Japan	25	341 1.0×	181 0.6×	203 0.8×	419 2.1×	193 1.4×	155	2.2k
J.P. Jones United States	15	1.2k 3.4×	394 1.4×	129 0.5×	210 1.1×	223 1.7×	66	2.4k
P. Hillman Israel	18	278 0.8×	635 2.3×	334 1.3×	287 1.5×	124 0.9×	57	2.6k
John Porrill United Kingdom	27	1.2k 3.5×	327 1.2×	116 0.5×	173 0.9×	240 1.8×	87	2.7k
Mostafa Rahimi Azghadi Australia	28	558 1.6×	488 1.7×	124 0.5×	519 2.6×	209 1.5×	111	2.9k
Weimin Zheng China	23	445 1.3×	167 0.6×	208 0.8×	92 0.5×	61 0.5×	103	1.7k
Misha Mahowald United States	13	1.1k 3.2×	774 2.8×	122 0.5×	468 2.4×	92 0.7×	20	2.3k
Haitao Yu China	30	1.7k 4.9×	417 1.5×	160 0.6×	271 1.4×	102 0.8×	136	2.5k
Panos Z. Marmarelis United States	14	736 2.1×	569 2.0×	329 1.3×	214 1.1×	143 1.1×	18	1.8k

Countries citing papers authored by Shiro Usui

Since Specialization

Citations

This map shows the geographic impact of Shiro Usui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shiro Usui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiro Usui more than expected).

Fields of papers citing papers by Shiro Usui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiro Usui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shiro Usui. The network helps show where Shiro Usui may publish in the future.

Co-authorship network of co-authors of Shiro Usui

This figure shows the co-authorship network connecting the top 25 collaborators of Shiro Usui. A scholar is included among the top collaborators of Shiro Usui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiro Usui. Shiro Usui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Usui, Shiro, et al.. (2009). Fractional derivative of Gaussian functions: A model for spatio-temporal receptive fields of V1 simple cells. 108(480). 141–146. 1 indexed citations

Usui, Shiro & Hidetoshi Ikeno. (2004). Neuroinformatics Site for Vision Science: Visiome Platform. 11(4). 193–199.

Kitahara, Masashi, et al.. (2003). On the Statistical Properties of Least Squares Estimators of Layered Neural Networks. IEICE Transactions on Information and Systems. 86(4). 777. 1 indexed citations

Usui, Shiro, et al.. (2002). Attentional effects on microsaccadic eye movements. 21. 377–395. 7 indexed citations

Géczy, Peter & Shiro Usui. (2000). Superlinear Conjugate GradientMethod with Adaptable Step Length Step Length and Constant Momentum erm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2320–2328. 2 indexed citations

Géczy, Peter & Shiro Usui. (2000). Novel First Order Optimization Classification Framework. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2312–2319. 1 indexed citations

Géczy, Peter & Shiro Usui. (1998). Theoretical Concept of Network Pruning Based on Functional Convergence. International Conference on Neural Information Processing. 635–638.

Géczy, Peter & Shiro Usui. (1998). Dynamic Sample Selection: Implementation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(9). 1940–1947. 2 indexed citations

Usui, Shiro, et al.. (1998). Human Visual and Auditory Information. Quantitatively Measuring Visual Attention by Analyzing Microsaccades.. The Journal of The Institute of Image Information and Television Engineers. 52(4). 571–576. 8 indexed citations

10.

Géczy, Peter & Shiro Usui. (1998). Theoretical Analysis and Classification of Training Problem in Neural Networks. International Conference on Neural Information Processing. 1381–1384. 1 indexed citations

11.

Géczy, Peter & Shiro Usui. (1998). Dynamic Sample Selection : Theory. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(9). 1931–1939. 3 indexed citations

12.

Géczy, Peter & Shiro Usui. (1997). Rule Extraction from Trained Artificial Neural Networks.. International Conference on Neural Information Processing. 835–838. 16 indexed citations

13.

Usui, Shiro, et al.. (1997). Color Management Using Neural Networks.. International Conference on Neural Information Processing. 1141–1145. 1 indexed citations

14.

Toda, Naohiro, et al.. (1997). On the Estimation and Prediction Errors of Function Representation with Orthonormal Discrete Variable Basis in Regression Model.. 4(1). 18–26.

15.

Nakauchi, Shigeki, et al.. (1996). Color Reproduction Based on Low Dimensional Spectral Reflectance Using the Principal Component Analysis. Color and Imaging Conference. 4(1). 185–188. 2 indexed citations

16.

Nakauchi, Shigeki, et al.. (1996). Color Gamut Mapping by Optimizing Perceptual Image Quality. Color and Imaging Conference. 4(1). 63–66. 15 indexed citations

17.

Nakauchi, Shigeki, et al.. (1996). Color Correction Method Based on the Spectral Reflectance Estimation using a Neural Network. Color and Imaging Conference. 4(1). 5–9. 7 indexed citations

18.

Géczy, Peter & Shiro Usui. (1995). PROBLEM OF RANK-DEFICIENCIES OF A JACOBEAN FOR A NEURAL NETWORK. Natural Computing. 95(405). 7–14. 1 indexed citations

19.

Sugiyama, Junichi & Shiro Usui. (1990). Nondestructive Quality Evaluation of Muskmelons by Acoustic Impulse Response. Transactions of the Society of Instrument and Control Engineers. 26(4). 367–374. 1 indexed citations

20.

Saladin, J. James, Shiro Usui, & Lawrence Stark. (1974). IMPEDANCE CYCLOGRAPHY AS AN INDICATOR OF CILIARY MUSCLE CONTRACTION. Optometry and Vision Science. 51(9). 613–625. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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